scuzyq's repositories
improved-v8
Improved-YOLOv8
CAVITY-PINN
A Physics Informed Neural Network to Solve a Classical Fluid Flow Problem of a Lid Driven Square Cavity
Construction-Hazard-Detection
An AI-driven solution enhances construction site safety using the YOLOv8 model for object detection. It identifies hazards like workers without helmets or safety vests, workers near machinery, and workers near vehicles. Post-processing algorithms further improve detection accuracy.
crack-segmentation
SUT-Crack segmentation U-Net
CSSR
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
Endoscopic-colorectal-polyp-detection-based-on-improved-YOLOv8
This repository includes Endoscopic colorectal polyp detection based on improved YOLOv8. We employ deformable Conv V2 and EMA modules to improve the YOLOv8 model, further achieving a significant performance improvement while maintaining the detection speed.
Fracture_Detection_Improved_YOLOv8
YOLOv8-AM: YOLOv8 with Attention Mechanisms for Pediatric Wrist Fracture Detection
GD-YOLOv8
Lightweight Rail Surface Defect Detection Algorithm Based on an Improved YOLOv8
HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
Improved-YOLOv8s
The baseline YOLOv8s model has been improved with the integration of Global Attention Mechanism (GAM), Modified Neck, and Wise Intersection over Union (WIoUv3)
latex-cookbook
LaTeX论文写作教程 (中文版)
le-yolo
This is an improved model based on YOLOv8 for target detection from the perspective of drones
Lightweight-Vehicle-Detection-Network-Based-on-Improved-YOLOv8
基于改进YOLOv8的轻量化车辆检测网络
NEU-DET-with-yolov8
The dataset I am using is NEU-DET, which uses yolov8 and its improved models (including Coordinate Attention and Swin Transformer) for defect detection
pinns_for_comp_mech
Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.
Prediciting-Wine-Quality-Classification
The dataset encompasses various physicochemical properties of different wines alongside their quality ratings. Binary classification is used to classified between low quality and high quality by separating it based on above 7 quality as high quality and vice versa. Then, a multiclass classification will be performed to classify each classes
sciann-applications
A place to share problems solved with SciANN
segdec-net-plusplus-conbuildmat2023
SegDecNet++: an official PyTorch implementation for "Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network" paper
SeisGAN-Improving-Seismic-Image-Resolution-and-Reducing-Noise
An application of generative adversarial networks to seismic data processing (resolution ehancement and denoising).
Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
TRINIT-TheThreeMusketeers-ML
Manual inspection of road conditions is a time-consuming and labor-intensive task, leading to delays in identifying and repairing damaged roads. The goal is to develop a classification model capable of automatically detecting and categorizing road damage from images (captured through CC cameras,phone,etc.).
ultralyticsPro
🔥🔥🔥专注于改进YOLOv8模型，NEW - YOLOv8 🚀 RT-DETR 🥇 in PyTorch >, Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
v8
The Implementation of CGI24 paper: An Improved YOLOv8-Based Rice Pest and Disease Detection
YOLO-MIF
YOLO-MIF is an improved version of YOLOv8 for object detection in gray-scale images, incorporating multi-information fusion to enhance detection accuracy. YOLO-MIF是在灰度图像中进行目标检测的改进型YOLOv8模型，引入了多信息融合策略，提高了检测准确性。
yolov5-knowledge-distillation
implementation of Distilling Object Detectors with Fine-grained Feature Imitation on yolov5
yolov8
yolov8 last model